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Cloud cover percentage [0, 100] from:

Cloud cover percentage [0, 100] to (exclusive):

Landsat collection category, such as T1 or T2:

Time when dataset was created (processed) From

Time when dataset was created (processed) to (exclusive)

Coordinate reference system field:

How much data is in the scene from:

How much data is in the scene to (exclusive):

ID of a dataset type:

Derived product version number:

The ground sample distance from:

The ground sample distance to (exclusive):

Sun azimuth from:

Sun azimuth to (exclusive):

Sun elevation from:

Sun elevation to (exclusive):

File format (GeoTiff, NetCDF):

Dataset UUID:

User who indexed the dataset:

When dataset was indexed:

Instrument name:

Label:

Latitude range from:

Latitude range to (exclusive):

Longitude range from:

Longitude range to (exclusive):

Full metadata document:

Metadata type name of dataset:

ID of a metadata type:

Platform code:

Product family code:

African regional area:

Spatial reference code from the provider. For Landsat region_code is a scene path row '{:03d}{:03d}.format(path,row)'. For Sentinel it is MGRS code. In general it is a unique string identifier that datasets covering roughly the same spatial region share. :

Landsat root mean square error from:

Landsat root mean square error to (exclusive):

Landsat root mean square error in X from:

Landsat root mean square error in X to (exclusive):

Landsat root mean square error in Y from:

Landsat root mean square error in Y to (exclusive):

The satellite orbit state, either ascending or descending:

The satellite relative orbit from:

The satellite relative orbit to (exclusive):

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

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30 results

Time (local)	Label
2013-06-23 18:07:08	wofs_ls_177052_2013-06-23.stac-item
2013-09-14 20:12:36	wofs_ls_198041_2013-09-14.stac-item
2015-01-08 19:21:25	wofs_ls_189057_2015-01-08.stac-item
2015-07-07 17:19:14	wofs_ls_169062_2015-07-07.stac-item
2016-07-02 17:10:39	wofs_ls_168055_2016-07-02.stac-item
2016-10-13 15:46:23	wofs_ls_153075_2016-10-13.stac-item
2016-12-09 20:20:29	wofs_ls_200034_2016-12-09.stac-item
2016-12-19 16:13:37	wofs_ls_158066_2016-12-19.stac-item
2018-05-31 19:17:59	wofs_ls_190036_2018-05-31.stac-item
2018-07-29 17:29:23	wofs_ls_171057_2018-07-29.stac-item
2018-08-15 18:14:49	wofs_ls_178062_2018-08-15.stac-item
2018-08-19 17:58:06	wofs_ls_174082_2018-08-19.stac-item
2019-04-01 18:31:52	wofs_ls_181058_2019-04-01.stac-item
2019-09-25 17:39:02	wofs_ls_172063_2019-09-25.stac-item
2019-10-28 18:24:45	wofs_ls_179069_2019-10-28.stac-item
2020-05-08 20:39:30	wofs_ls_202053_2020-05-08.stac-item
2021-01-17 17:40:03	wofs_ls_172066_2021-01-17.stac-item
2021-08-03 20:16:16	wofs_ls_198055_2021-08-03.stac-item
2022-04-15 18:49:19	wofs_ls_183070_2022-04-15.stac-item
2022-05-19 18:29:03	wofs_ls_181051_2022-05-19.stac-item
2022-06-19 17:59:08	wofs_ls_174084_2022-06-19.stac-item
2022-06-24 17:27:58	wofs_ls_169082_2022-06-24.stac-item
2022-08-13 17:59:01	wofs_ls_175067_2022-08-13.stac-item
2022-11-10 16:59:26	wofs_ls_166056_2022-11-10.stac-item
2022-12-11 17:08:15	wofs_ls_167063_2022-12-11.stac-item
2022-12-29 18:35:33	wofs_ls_181065_2022-12-29.stac-item
2023-01-01 16:34:55	wofs_ls_162057_2023-01-01.stac-item
2023-01-23 18:26:05	wofs_ls_180057_2023-01-23.stac-item
2023-02-02 19:02:55	wofs_ls_186056_2023-02-02.stac-item
2023-05-24 20:41:13	wofs_ls_203042_2023-05-24.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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